Decide where AI should pay
Frame use cases, investment choices, operating risk and the measures leadership should review.
AI TRAINING & ENABLEMENT
Train teams to use AI inside the work they already do.
Amotion runs practical programs for technical and non-technical roles. Sessions combine instruction, labs, exercises and coaching, then adapt to the customer’s tools, workflows and maturity.
PROGRAM PRINCIPLELearn it. Practise it. Apply it. Review the evidence.
Typical programs run four to eight weeks after discovery.
WHO PARTICIPATES
One program, role-specific practice.
The customer may have separate teams or combined roles. The curriculum assigns the capability to whoever owns that part of the lifecycle.
Build with context and control
Practise specifications, repository memory, tool selection, agent workflows, review and verification.
Connect the lifecycle
Use AI across requirements, work tracking, acceptance, testing, release, incidents and feedback.
HOW THE PROGRAM WORKS
A coached learning system, not a lecture series.
Adapt to the customer
Understand roles, tools, repositories, maturity and constraints before finalizing the calendar.
Teach the concept clearly
Use concise instruction, examples and facilitator material that supports consistent delivery across pods.
Work through realistic tasks
Combine guided labs, approved open-source repositories and customer examples where access permits.
Transfer the method
Use homework, office hours, evidence review and champion enablement to move from session to daily practice.
CORE CURRICULUM
From AI foundations to a connected delivery lifecycle.
Discovery changes the depth, sequence and tool examples. The core stays consistent enough for an Amotion pod to deliver reliably.
- Responsible AI use, prompting and tool selection
- Skills, memory, context and repository readiness
- Requirements, specifications and acceptance criteria
- AI-assisted build, review, QA and release workflows
- Linear or Jira workflow discipline and ownership
- DevOps, security, measurement and human approval
PROGRAM SHAPE
Four to eight weeks, shaped after discovery.
Sessions typically run two to four hours and mix labs, coaching or office hours. Exercises continue between sessions.
- Discovery and access preparation before the main curriculum
- Instructor-ready session guides and backup presentation material
- Exercises, homework and expected evidence for each module
- Practice on approved examples before customer implementation
- Readiness review across people, repositories and workflow
START WITH EVIDENCE
Build capability your teams can use after the program.
Start with the roles, workflows and business outcomes the training must support.